Cardiff School of Technologies>Courses>Computer Science - BSc (Hons) Degree

Computer Science - BSc (Hons) Degree

Entry Year

Designed in consultation with industry, the Computer Science degree will equip you with a strong knowledge of the key concepts of computing, software and systems. 

Creating links between theory and practice, the course covers the theoretical foundations of data and computation, computer architectures, the construction of computers and their operating systems. You will build on these theories to develop a broad range of practical programming and software development skills, along with highly transferable computational thinking, analytical and problem solving skills. You will examine how professional software code is best organised, and will begin working at the boundary where software and hardware meet to understand how software can interact with the physical world. 

Broadening options will allow you to hone your knowledge in specialist areas such as Artificial Intelligence, mobile technologies, robotics, and data analytics and business intelligence to become highly employable across different sectors of the digital economy. As such, you can graduate with a named award in: 

  • BSc (Hons) Computer Science (Mobile Computing)

  • BSc (Hons) Computer Science (Robotics)

  • BSc (Hons) Computer Science (Artificial Intelligence) 

  • BSc (Hons) Computer Science (Data Analytics)

This degree has been accredited by BCS, The Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. An accredited degree entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

This programme will undergo periodic review in 2022/23. As such, course content shown below may change to ensure the programme remains current. Any applicants will be informed of any changes once confirmed.

Course Content

Foundation Year (Year 0)

This programme can incorporate a Foundation Year, which is intended for students wishing to enrol onto the three-year honours degree, who fall into one of the following categories:

1. Students who have not achieved the required A-Level points (or equivalent) score to enter the first year of the degree programme.
2. Mature students who have been out of the formal education system for some time.

Further information about the Foundation Year can be found by clicking here.


Degree

The Computer Science degree programme is comprised of a number of compulsory modules, with a range of options in the second and final year to develop your specific interests and expertise.

Students also have the option to complete a year-long placement in industry between Years 2 and 3.

Modules are 20 credits, unless specified.


Year 1:

Students follow 120 credits of core modules:

  • Principles of Programming
  • Architectures & Operating Systems
  • Building for the Web
  • Technology & Society
  • Computational Thinking
  • Developing Quality Software & Systems I

Year 2:

Students follow 100 credits of compulsory modules, with a choice of one 20 credit optional module.

Compulsory modules:

  • Physical Computing
  • Object-Oriented System Design
  • Data & Knowledge Management
  • Developing Quality Software & Systems II
  • Research and Professional Skills

Optional modules (one of the following):

  • Multimedia & Interaction
  • Mobile & Web Technologies
  • Networks & Communications
  • Law & Digital Security
  • Concepts in Artificial Intelligence


Year 3:

Students follow 100 credits of compulsory modules, with a choice of one 20 credit optional module.

Compulsory modules:

  • Computer Science Dissertation Project (40 credits) OR Development Project (BCS) (40 credits)
  • Professional & Ethical Issues in IT
  • Computational Intelligence
  • Cyber Security and Cryptography

Optional modules (one of the following):

  • Advanced Programming
  • Parallel & Distributed Systems
  • Advanced Multimedia
  • Analytics & Business Intelligence
  • Mobile Game Development
  • Social Humanoid Robotics
  • Entrepreneurship and Innovation
  • Industrial Work Experience (Placement)

Note: Optional modules are subject to availability and demand; as such not all optional modules may run in one Academic Year. 


Pathways

Students who wish to follow a pathway are required to take a 20 credit pathway specialist module in Years 2 and 3. These modules are defined as follows:

Artificial Intelligence:

  • Year 2: Concepts in Artificial Intelligence
  • Year 3: Computational Intelligence

Data Analytics:

  • Year 2: Data & Knowledge Management
  • Year 3: Analytics & Business Intelligence

Mobile Computing:

  • Year 2: Mobile & Web Technologies
  • Year 3: Mobile Game Development

Robotics:

  • Year 2: Physical Computing
  • Year 3: Social Humanoid Robotics

Students would also be required to complete their 40 credit dissertation project in a topic related to their pathway specialism.

Learning & Teaching

A student-centred approach to learning and teaching is encouraged through the use of a broad range of teaching strategies, such as technical labs and individual and group projects. This is further enhanced by real world case studies and guest talks from industry experts, and supported by Teams and Moodle, our virtual learning environments.

Due to the nature of the programme, online and campus-based practical workshops are key to developing students’ technical understanding and abilities, underpinned by solid theoretical foundations. Students are expected to further develop their knowledge and understanding through directed self-study and independent learning time - in additional to the timetabled delivery - so as to develop a professional portfolio of project work and software artefacts as they move into graduate employment.

Students are supported academically and pastorally by the Programme Team, led by the Programme Director. Each student is also appointed a Personal Tutor from within the School, who provides a point of contact for general academic and pastoral issues. Students are also supported by Student Coaches; the Student Coach role is for current 2nd, 3rd year and Master’s students who provide peer support in Modules.

Assessment

The assessment strategy for the programme varies to ensure the most appropriate method for each specific module and subject area. Modules are assessed through a combination of methods, such as formal examinations, practical programming assignments, written assignments, technical reports, presentations, in-class tests, peer assessments and case studies.

Employability & Careers

The primary aim of this degree programme is to develop theoretical understanding of the key concepts of computing, software and systems. It will showcase the wider impact and importance of software and technology to both society as well as the UK and global digital economy, alongside developing highly transferable computational thinking, analytical and problem solving skills, as well as a broad range of software development skills.

This degree programme is in the process of being accredited by BCS, The Chartered Institute for IT – the body that champions the global IT profession with more than 70,000 members worldwide. This degree programme satisfies the educational requirements for professional membership and chartered status (on successful completion of industry experience at the appropriate level of seniority).

Computer Science
Computer Science graduates will find a wide variety of career opportunities across both the traditional IT and telecoms sector, as well as the majority of the other industrial sectors (both public and private), including the digital/creative industries, financial and professional services, advanced manufacturing, engineering and management consultancy. 

Computer Science (Artificial Intelligence)
Artificial Intelligence is an area of significant growth within the IT industry. There is a significant gap in the market, with many opportunities for well-paid employment and rewarding career paths across all sectors for graduates with knowledge and skills in Artificial Intelligence. Roles in Artificial Intelligence cover areas such as Business and Finance, Robotics, and Research and Development across disciplines such as and Medicine and Sport.

Computer Science (Data Analytics)
Data Analytics has now established itself as core to the Computing sector, but with many unfilled, well-paid roles that need filling. The analysis of data has become key to the way that many businesses are run, with Data Analytics forming the basis for major decisions in business, government, and many other sectors. Data Analytics is still developing as a growth area, and careers in this field offer excellent opportunities with new roles continually emerging. 

Computer Science (Mobile Computing)
Mobile Computing expertise offers opportunities across all disciplines. Technology has enabled hardware and software to be deployed in any environment utilising cloud technology which requires a specific set of skills. Focus is given to developing on mobile phones and tablets, while recognising and exploring the flexibility that this type of technology brings. Industry is still exploring the potential of this flexibility, and requires this expertise with excellent career opportunities. 

Computer Science (Robotics)
The use of robotics is on the rise, with advances in Artificial Intelligence and recognition that robotics can used across many sectors. The subject now crosses the conventional image of robotics in heavy industry to areas such as social robotics for human interaction, and automation at home and in everyday life. Robotics and AI applications examine the integration of robotics through using speech, recognising behaviour and the use of sensors. Expertise in robotics can lead to exciting opportunities in both Industry and Science which will lead to careers that are still emerging, addressing the gaps in the market that are still being discovered in this area.

Real world experience can be obtained as part of your study by completing an optional sandwich year placement / industrial internship. Over the past few years, our students have been successful in obtaining placements in nationally competitive schemes with Microsoft, HP, General Electric and the Met Office.

On successful completion of this degree programme, there are also further taught postgraduate study options across computing and information systems here at Cardiff Met, as well as research and PhD programmes.

Entry Requirements & How to Apply

Typical Offers

  • Tariff points: 104-112
  • Contextual offer: See our contextual offers page.
  • GCSE: Five GCSEs at Grade C / 4 or above to include English Language / Welsh First Language, Mathematics / Mathematics – Numeracy.
  • English Language Requirement: Academic IELTS 6.0 overall with at least 5.5 in all elements, or equivalent.
  • A level subjects: Minimum three A levels to include Grades CCC. No specific subjects required. Welsh Baccalaureate – Advanced Skills Challenge Certificate considered as a third subject.
  • BTEC National / Cambridge Technical Extended Diploma: DMM
  • T Level: Merit. No specific subjects required.
  • Access to Higher Education Diploma: No specific subjects required.
  • International Baccalaureate (IB) Diploma: 2 x H5. No specific subjects required.
  • Irish Leaving Certificate: 2 x H2 grades. No specific subjects required. Higher level subjects only considered with a minimum grade H4.
  • Scottish Advanced Highers: Grades DD. No specific subjects required. Scottish Highers are also considered, either on their own or in combination with Advanced Highers.

If you do not meet the above entry requirement, we also offer a Foundation Programme which allows progression to Year 1.

Combinations of the above qualifications are accepted if they meet our minimum requirements. If your qualifications aren’t listed, please contact Admissions or refer to the UCAS Course Search.

Further information on Overseas qualifications can be found here.

If you are a mature applicant, have relevant experience or RPL that you would like us to consider, please contact Admissions.


How to Apply

Further information on how to apply can be found here.

Contact Us

For general enquiries, please contact the Admissions Team on 029 2041 6044 or email askadmissions@cardiffmet.ac.uk.

For course specific enquiries, please contact the Programme Director, Dr Thanuja Mallikarachchi:
Email: TMallikarachchi@cardiffmet.ac.uk
Tel: 029 2041 7207

We endeavour to deliver courses as described and will not normally make changes to courses, such as course title, content, delivery, and teaching provision. However, it may be necessary for the university to make changes in the course provision before or after enrolment. It reserves the right to make variations to content or delivery methods, including discontinuation or merging courses if such action is considered necessary. Please read our Terms and Conditions for the full information.

Key Course Information

UCAS Code: G400
Foundation students should also use this UCAS code and apply for entry point 0 on the UCAS website.

Place of Study: 
Llandaff Campus

School:
Cardiff School of Technologies

Course Length: Three years full-time. Four years full-time if undertaking foundation year or year-long sandwich placement. Five years full-time if undertaking foundation year and year-long sandwich placement.

MEET THE TEAM
Meet the Team: Thanuja Mallikarachchi

"I want to keep the content I teach as authentic as possible to present real-world problems". Meet Dr Thanuja Mallikarachchi, Programme Director of the BSc Computer Science.

Meet the Team: Ana Calderon

"I fell in love with maths from a very young age." Meet Dr Ana Calderon, Senior Lecturer in Computer Science.

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